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Optimal defense synthesis for jamming attacks in cognitive radio networks via swarm optimization

Optimal defense synthesis for jamming attacks in cognitive r...

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2012 5th ieee symposium on computational intelligence for security and Defence applications, cisda 2012

作者： Zhang, Haopeng Liu, Zhenyi Hui, Qing Department of Mechanical Engineering Texas Tech. University Lubbock TX 79409-1021 United States

ISBN: (纸本)9781467314169

In this paper, the optimal cognitive network reconfiguration problem is considered in the presence of jamming interference and delayed signals in a game play scenario. In most previous literature, only one jammer is investigated. However, in practical applications, multiple jammers occur frequently. Moreover, the delay of signals cannot be neglected in the context of network communication, which may result in an unstable system. Therefore, we formulate the optimization problem for network reconfiguration with multiple jammer's interference and delayed signals. To solve the optimization problem numerically, two types of swarm optimization algorithms are proposed. In the first approach, the dynamic objective method is used via bilevel programming while in the second approach, a hybrid multiagent swarm optimization algorithm is applied. Some illustration results are also provided in the paper. © 2012 ieee.

关键词： Optimization

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mTRACK-Monitoring time-varying relations in approximately categorised knowledge

mTRACK-Monitoring time-varying relations in approximately ca...

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ieee symposium on computational intelligence for security and defense applications, cisda 2009

作者： Martin, Trevor Shen, Yun Artificial Intelligence Group University of Bristol BS8 1TR United Kingdom

ISBN: (纸本)9781424437641

Recent initiatives in defence related information systems have emphasised the need to bring together information from multiple sources and fuse it into a form suitable for decision makers. This paper outlines a four stage system for fusing unstructured and semi-structured text and numerical data by extraction of entities and relations, identification of duplicate entities, organisation into the most appropriate hierarchical categories and determination of relations between fuzzy categories. The novel contribution of this paper is in the final stage of the process, where we determine associations between fuzzy categories and identify strong and/or unusual levels of association as well as changes over time. A demonstrator application shows how information on terrorist incidents from multiple sources can be integrated and monitored. © 2009 ieee.

关键词： Decision making

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Behavior-Driven Video Analytics System for Critical Infrastructure Protection 7

Behavior-Driven Video Analytics System for Critical Infrastr...

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7th ieee symposium on computational intelligence for security and defense applications (ieee-cisda)

作者： Curtis, Phillip Harb, Moufid Abielmona, Rami Petriu, Emil Larus Technol Res & Engn Div Ottawa ON Canada Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON Canada

ISBN: (纸本)9781479954315

The convergence of a security aware environment with the proliferation of inexpensive high quality video imaging devices has led to the deployment of cameras at a high number of critical infrastructure sites. As many cameras are needed to keep all key access points under continuous observation, an operator of the surveillance system may become distracted from the many video feeds, possibly missing key events, such as suspicious individuals leaving an object behind or approaching a door. By providing an automated system for monitoring these types of events within a video feed, some of the burden placed on the operator is alleviated, thereby increasing the overall reliability and performance of the monitoring system, as well as providing archival capability for future investigations. In this paper, we propose a solution that uses a background subtraction based segmentation method to determine objects within the scene. An artificial neural network classifier is then employed to determine the class of each object detected in each frame, which is then temporally filtered using Bayesian inference to minimize the effect of occasional misclassifications. The behavior of the object is then determined based on its classification and spatio-temporal properties, and if the object is considered of interest, feedback is provided to the background subtraction segmentation technique for background fading prevention reasons.

关键词： computer vision neural networks Bayesian inference classification computational intelligence background subtraction segmentation behavior analysis critical infrastructure protection territorial security video analytics

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Smoothing Gamma Ray Spectra to Improve Outlier Detection 7

Smoothing Gamma Ray Spectra to Improve Outlier Detection

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7th ieee symposium on computational intelligence for security and defense applications (ieee-cisda)

作者： Barnabe-Lortie, Vincent Bellinger, Colin Japkowicz, Nathalie Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON K1N 6N5 Canada

ISBN: (纸本)9781479954315

Rapid detection of radioisotopes in gamma-ray data can, in some situations, be an important security concern. The task of designing an automated system for this purpose is complex due to, amongst other factors, the noisy nature of the data. The method described herein consists of preprocessing the data by applying a smoothing method tailored to gamma ray spectra, hoping that this should decrease their variance. Given that the number of counts at a given energy level in a spectrum should follow a Poisson distribution, smoothing may allow us to estimate the true photon arrival rate. Our experiments suggest that the added data preprocessing step can have large impact on the performance of anomaly detection algorithms on this particular domain.

关键词： Poisson distribution gamma-ray spectra national security radioisotopes smoothing methods anomaly detection algorithms data preprocessing step gamma ray spectra outlier detection radiation level monitoring radioisotope detection security concerns smoothing method Gamma-rays Noise measurement Smoothing methods Splines (mathematics) Support vector machines Testing Training gamma-ray spectra smoothing methods Poisson distribution Radioisotopes Gamma Rays Noise measurement National security Support Vector Network Detection algorithms Functional training

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On the Use of Design Diversity in Fault Tolerant and Secure Systems: A Qualitative Analysis

On the Use of Design Diversity in Fault Tolerant and Secure ...

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ieee symposium on computational intelligence for security and defense applications (cisda)

作者： Rodriguez, Manuel Kwiat, Kevin A. Kamhoua, Charles A. Air Force Res Lab Cyber Assurance Branch Informat Directorate Rome NY 13441 USA

ISBN: (纸本)9781467375573

The design and development of modern critical systems, including cyber-physical systems, is experiencing a greater reliance on the outsourcing of systems parts and the use of third -party components and tools. These issues pose new risks and threats that affect dependability in general, and security in particular. Not only the chances are higher for system designs to be faulty, yet they can be maliciously altered. In addition, the extension of monocultures, comprising networks of interconnected systems featuring similar platforms and computing resources, facilitates the spreading and gravity of attacks. Even correctly designed systems can have side behaviors leading to vulnerabilities that are exploitable by attackers. Design diversity, although proposed and used for long time, can help palliate these emerging challenges. This paper explores and analyzes design diversity from a qualitative perspective, with respect to its fault tolerance and performance properties. The paper describes core concepts of design diversity such as non -diversity and diversity points, and provides quality measurements that help gaining a better understanding of how design diversity can impact the development of fault tolerant and secure systems.

关键词： design diversity fault tolerance performance dependability security

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Clustering of tracklets for on-line multi-target tracking in networked camera systems

Clustering of tracklets for on-line multi-target tracking in...

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symposium Series on computational intelligence, ieee SSCI 2011 - 2011 ieee symposium on computational intelligence for security and defense applications, cisda 2011

作者： Vijverberg, Julien A. Koeleman, Cornelis J. De With, Peter H.N. Eindhoven University of Technology Eindhoven Netherlands VDG Security B.V. Zoetermeer Netherlands CycloMedia B.V. Waardenburg Netherlands

ISBN: (纸本)9781424499410

This paper considers the problem of tracking a variable number of objects through a surveillance site monitored by multiple cameras with slightly overlapping field-of-views. To this end, we propose to cluster tracklets generated by a commercially available single-camera video-analysis algorithm which is solely based on the position of objects. A first contribution of this paper is the proposal of a novel, extended energy function representing the confidence that two tracklets correspond to the same object. In contrast to previous work, the proposed motion-consistency error enables the clustering of tracklets from arbitrary views and temporal overlap. A second contribution is to evaluate the performance of several clustering algorithms. The results show that the clustering techniques employing only the merging of tracklets yield 10-15% higher F1 score than clustering techniques using various types of clustering moves including split and swap moves. © 2011 ieee.

关键词： Clustering algorithms

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A Trace Abstraction Approach for Host-based Anomaly Detection

A Trace Abstraction Approach for Host-based Anomaly Detectio...

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ieee symposium on computational intelligence for security and defense applications (cisda)

作者： Murtaza, Syed Shariyar Khreich, Wael Hamou-Lhadj, Abdelwahab Gagnon, Stephane Concordia Univ ECE SBA Res Lab Montreal PQ Canada Univ Quebec Outaouais Dept Sci Adm Gatineau PQ Canada

ISBN: (纸本)9781467375573

High false alarm rates and execution times are among the key issues in host-based anomaly detection systems. In this paper, we investigate the use of trace abstraction techniques for reducing the execution time of anomaly detectors while keeping the same accuracy. The key idea is to represent system call traces as traces of kernel module interactions and use the resulting abstract traces as input to known anomaly detection techniques, such as STIDE (the Sequence Time-Delay Embedding) and HMM (Hidden Markov Models). We performed experiments on three datasets, namely, the traditional UNM dataset as well as two modern datasets, Firefox and ADFA-LD. The results show that kernel module traces can lead to similar or fewer false alarms and considerably smaller execution times compared to raw system call traces for host-based anomaly detection systems.

关键词： Host-based Anomaly Detection System Trace Analysis and Abstraction System Call Traces Software security Software Dependability

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computational verification of system architectures

Computational verification of system architectures

引用

ieee symposium on computational intelligence in security and defense applications

作者： Zaidi, Abbas K. Levis, Alexander H. George Mason Univ Syst Architectures Lab ECE Dept MS 1G5 Fairfax VA 22030 USA

ISBN: (纸本)9781424407002

The paper presents a computational approach for verifying system architectures that employs a modal logic, an architecture design process, and a computer-aided formal model checking technique. The approach is shown to address the traceability issue between the architectural views, developed in accordance to the DoD Architecture Framework (DoDAF), and the executable model derived from the framework products. It provides an analytical underpinning of the verification of systems architectures, especially when requirements and capabilities of the systems under consideration evolve over time. The approach is presented with the help of an illustrative example.

关键词： Computer architecture

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Intrusion Detection System using Discrete Fourier Transform 7

Intrusion Detection System using Discrete Fourier Transform

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7th ieee symposium on computational intelligence for security and defense applications (ieee-cisda)

作者： Chimedtseren, Enkhbold Iwai, Keisuke Tanaka, Hidema Kurokawa, Takakazu Natl Def Acad Japan Dept Comp Sci Kanagawa Japan

ISBN: (纸本)9781479954315

Intrusion Detection System (IDS) detects attacks using pattern files which are known as "signature". Effectiveness of detection depends on the kind of signature. In this paper, we propose a signature generation method using Discrete Fourier Transformed regards payload between client and server as discrete waveform. Regarding normal communication spectrum as noise, we can clarify the characteristics of attack sessions. From the viewpoint of spectrum analysis, our method detect unknown attack session. The proposed method simulated using Kyoto2006+ dataset which is currently used as intrusion detection evaluation. As the result, we have 5% of false positives for detecting attacks.

关键词： discrete Fourier transforms security of data IDS Kyoto2006+ dataset attack session characteristics discrete Fourier transform discrete waveform intrusion detection evaluation intrusion detection system normal communication spectrum signature generation method signature pattern file spectrum analysis viewpoint Discrete Fourier transforms Feature extraction Intrusion detection Monitoring Payloads Servers Spectral analysis discrete Fourier transform Data security INTRUSION DETECTION SYSTEMS Payload Servers Spectrum Analysis intelligent decision support system Feature extraction Fourier Transform

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computational intelligence support for smart queries and adaptive data

Computational intelligence support for smart queries and ada...

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ieee symposium on computational intelligence in security and defense applications

作者： Martin, Trevor Azvine, Ben Shen, Yun Univ Bristol Artificial Intelligence Grp Bristol BS8 1TR Avon England BT Res & Venrturing Intelligent Syst Lab Computat Intelligence Grp Ipswich Suffolk IP5 3RE England Univ Bristol Artific Intelligence Grp Bristol BS8 1TR Avon England

ISBN: (纸本)9781424407002

The UK initiative in "Network Enabled Capability" (NEC) can be loosely summarised as "right information, right place, right time - and not too much". It is closely related to the US concept of "network-centric operations". A core requirement for NEC is "active intelligence" where information streams from multiple sources can be dynamically blended and fused into the relevant form for a decision maker. We have identified "smart queries" and "adaptive data" (SQuAD) as the key components of active intelligence, and these form the basis of a current research programme. In this paper we outline three existing research streams that can contribute to the SQuAD project by using soft computing and computational intelligence to merge semi-structured data and taxonomic categories.

关键词： Artificial intelligence

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